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AI science vs. applications: accomplishments, failures and long-term goals

机译:人工智能科学与应用程序:成就,失败和长期目标

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The author expresses the belief that the central problems in advancing artificial intelligence (AI) systems continue to be problems of representing knowledge, especially world and common-sense knowledge, extracting knowledge from sensory data, problems of knowledge acquisition and learning, understanding plausible reasoning, such as approximate deduction, induction and analogy, and related problems. The author suggests that AI is a very successful discipline despite the failure some not-carefully-expressed predictions. It needs steady, long-term-oriented support, although perhaps not necessarily at a very high level. The expectations need to be toned down, and intensive and imaginative research should continue unabated. Potential benefits to society are very high.
机译:作者表示相信,推进人工智能(AI)系统的主要问题仍然是以下方面的问题:代表知识,尤其是世界知识和常识知识;从感官数据中提取知识;知识获取和学习的问题;理解合理的推理;例如近似演绎,归纳和类比,以及相关问题。作者认为,尽管某些未精心表达的预测失败了,但AI是一门非常成功的学科。它可能需要长期稳定的支持,尽管不一定一定要有很高的水平。需要降低期望值,并且应继续进行深入而富有想象力的研究。给社会带来的潜在利益是很高的。

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